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Nonlinear Transformation's Impact Factor of Cryptography at Confusion and Cluster Process

Authors:
Lan Luo
Zehui Qu
Yalan Ye
Tao Lv
Qionghai Dai

Keywords: nonlinear transformation; confusion and cluster; impact factor; Bayesian model

Abstract:
For investigating the nonlinear character at the confusion and cluster process of cryptography, the nonlinear transformation’s impact factor has been introduced. According to sorting result by different years, the amount of online cryptography is accounted. And then the nonlinear indexes, which are related to the outcome of amount reflecting the nonlinear character directly, are researched at the confusion process and the cluster process respectively. The nonlinear transformation’s impact factor which includes both the private-key cryptography and public-key cryptography is studied with known nonlinear index at naïve Bayesian model, which combines with the networks environment fused in protocol whenever confusion or cluster process. To any networks environment, higher the nonlinear transformation’s impact factor is, more popular the used cryptography is because more amounts of kinds of level users requiring stronger secure cryptography. So, the impact factor of the nonlinear transformation is a kind of cryptography’s label indicating the suitable to application environment by suitable crowd. Contrarily, the extent of secure can measure up the nonlinear character of cryptography precisely.

Pages: 42 to 46

Copyright: Copyright (c) IARIA, 2012

Publication date: October 21, 2012

Published in: conference

ISSN: 2308-3484

ISBN: 978-1-61208-226-4

Location: Venice, Italy

Dates: from October 21, 2012 to October 26, 2012